Collecting, retrieving and analyzing Knowledge Value Added (KVA) data from U.S. navy vessels afloat
Homer, Jason. B.
Housel, Thomas J.
Bergin, Richard D.
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Program managers throughout the Department of Defense (DoD) are faced with technology portfolio management problems. Critical to these efforts is the need to track the performance of the technology on a routine, ongoing basis. This thesis focuses on solving this general problem in the specific context of the United States Navy's Cryptologic Carry-On Program (CCOP). This study provides a method that can gather real world data from United States Naval vessels afloat and use that data to generate Return On Investment (ROI) estimates based upon Knowledge Value Added (KVA) analysis. This research builds upon the already developed KVA analysis method through providing a means by which a constant flow of real world data can feed this process, thereby providing an output that is both current and meaningful. The ability of decision makers to access this information will provide them with a critical tool that they can leverage to help them make wise financial decisions with respect to the CCOP program.
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